Hyperscaler Custom-ASIC Shift
Cloud majors internalizing AI silicon
The strategic shift of Google (TPU), Amazon (Trainium), Microsoft (Maia) and Meta (MTIA) toward in-house accelerators — all fabbed at TSMC and packaged in CoWoS — reroutes value from NVIDIA toward Broadcom/Marvell/MediaTek ASIC design and toward TSMC's back-end. It reshapes who controls the AI-silicon roadmap.
Drivers
TPU, Trainium, Maia, MTIA
Effect
NVIDIA bypass via ASICs
How it fits the stack
Hyperscaler Custom-ASIC Shift with what it depends on (above) and what it feeds (below). The figure renders as a crawlable diagram and upgrades to an interactive 3D graph as it scrolls into view.
Hyperscaler Custom-ASIC Shift in the AI stack. Hyperscaler Custom-ASIC Shift with its immediate upstream dependencies (top) and downstream dependents (bottom) in the AI value chain. Hover a node in 3D, or read the full relationships below.
Graph data (text) — 4 entities, 3 relationships
- Hyperscaler Custom-ASIC Shift —depends on→ Broadcom
- Hyperscaler Custom-ASIC Shift —depends on→ TSMC CoWoS (Chip-on-Wafer-on-Substrate)
- Hyperscaler Custom-ASIC Shift —competes with→ Nvidia Data-Center GPU (Blackwell/Rubin)
Context — capital, rivals, policy · · 1